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Response
200 OK
IP
3.147.63.162
Profiled on
Token
4e36e1

ArticleController :: show

Request

GET Parameters

None

POST Parameters

None

Uploaded Files

None

Request Attributes

Key Value
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_stopwatch_token 
"6cb346"
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"science"
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accept 
"*/*"
accept-encoding 
"gzip, br, zstd, deflate"
connection 
"close"
cookie 
"PHPSESSID=6s863q8lh5jqqapm2oke170ed3"
host 
"rct.dev.bbntimes.com"
user-agent 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
x-php-ob-level 
"1"

Request Content

Request content not available (it was retrieved as a resource).

Response

Response Headers

Header Value
cache-control 
"no-cache, private"
content-type 
"text/html; charset=UTF-8"
date 
"Sat, 22 Feb 2025 13:27:44 GMT"
link 
"</build/runtime.js>; rel="preload"; as="script",</build/644.js>; rel="preload"; as="script",</build/502.js>; rel="preload"; as="script",</build/app.js>; rel="preload"; as="script",</build/view-more.js>; rel="preload"; as="script",</build/term-condition.js>; rel="preload"; as="script",</build/contact.js>; rel="preload"; as="script",</build/scroll-infinite-article.js>; rel="preload"; as="script",</build/app.css>; rel="preload"; as="style",</build/cookie-style.css>; rel="preload"; as="style",</build/term-condition-css.css>; rel="preload"; as="style",</build/contact-css.css>; rel="preload"; as="style",</build/comment-css.css>; rel="preload"; as="style""
x-debug-token 
"4e36e1"

Cookies

Request Cookies

Key Value
PHPSESSID 
"6s863q8lh5jqqapm2oke170ed3"

Response Cookies

No response cookies

Session 6

Session Metadata

Key Value
Created 
"Sat, 22 Feb 25 13:27:33 +0000"
Last used 
"Sat, 22 Feb 25 13:27:42 +0000"
Lifetime 
0

Session Attributes

Attribute Value
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_csrf/https-cookie_accept 
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Session Usage

6 Usages
Stateless check enabled
Usage
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:76
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:79
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:52
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:56
Show trace 
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    "function" => "run"
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    ]
    "function" => "require_once"
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]
Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage:41
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-core/Authentication/Token/Storage/UsageTrackingTokenStorage.php"
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    "function" => "getMetadataBag"
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]
Symfony\Component\Security\Http\Firewall\ContextListener:171
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-http/Firewall/ContextListener.php"
    "line" => 171
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Flashes

Flashes

No flash messages were created.

Server Parameters

Server Parameters

Defined in .env

Key Value
APP_ENV 
"dev"
APP_SECRET 
"0a988e63f011514eaabfc650b599af4d"
CORS_ALLOW_ORIGIN 
"*"
DATABASE_URL 
"mysql://bbndb_rctuser:33F5W25z40or0f7@localhost:3306/rct_bbntimes"
GOOGLE_RECAPTCHA_SECRET_KEY 
"6LdV5fgpAAAAANxzTG8ZMfIjil1wu-1vrQvnUt-x"
GOOGLE_RECAPTCHA_SITE_KEY 
"6LdV5fgpAAAAAENKcn73MJAhQrbtQeqgyC4wDLMP"
MAILER_DSN 
"smtp://no-reply%40rct.dev.bbntimes.com:Bl6%26gLD48%26Of919@rct.dev.bbntimes.com:465"
MARIADB_PASSWORD 
"i!87pK&!85ezc8"

Defined as regular env variables

Key Value
APP_DEBUG 
"1"
BASE 
"/public"
CONTEXT_DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
CONTEXT_PREFIX 
""
DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
FCGI_ROLE 
"RESPONDER"
GATEWAY_INTERFACE 
"CGI/1.1"
HTTPS 
"on"
HTTP_ACCEPT 
"*/*"
HTTP_ACCEPT_ENCODING 
"gzip, br, zstd, deflate"
HTTP_CONNECTION 
"close"
HTTP_COOKIE 
"PHPSESSID=6s863q8lh5jqqapm2oke170ed3"
HTTP_HOST 
"rct.dev.bbntimes.com"
HTTP_USER_AGENT 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
PATH 
"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
PHP_SELF 
"/public/index.php"
PP_CUSTOM_PHP_CGI_INDEX 
"plesk-php81-fastcgi"
PP_CUSTOM_PHP_INI 
"/var/www/vhosts/system/rct.dev.bbntimes.com/etc/php.ini"
QUERY_STRING 
""
REDIRECT_BASE 
"/public"
REDIRECT_HTTPS 
"on"
REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_HTTPS 
"on"
REDIRECT_REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/science/what-is-lacking-in-machine-learning-to-get-smarter"
REDIRECT_REDIRECT_SCRIPT_URL 
"/science/what-is-lacking-in-machine-learning-to-get-smarter"
REDIRECT_REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_REDIRECT_STATUS 
"200"
REDIRECT_REDIRECT_UNIQUE_ID 
"Z7nQ0JDyWLT8YV1VjBpUagAAAIY"
REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/science/what-is-lacking-in-machine-learning-to-get-smarter"
REDIRECT_SCRIPT_URL 
"/science/what-is-lacking-in-machine-learning-to-get-smarter"
REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_STATUS 
"200"
REDIRECT_UNIQUE_ID 
"Z7nQ0JDyWLT8YV1VjBpUagAAAIY"
REDIRECT_URL 
"/public/science/what-is-lacking-in-machine-learning-to-get-smarter"
REMOTE_ADDR 
"3.147.63.162"
REMOTE_PORT 
"27457"
REQUEST_METHOD 
"GET"
REQUEST_SCHEME 
"https"
REQUEST_TIME 
1740230864
REQUEST_TIME_FLOAT 
1740230864.4232
REQUEST_URI 
"/science/what-is-lacking-in-machine-learning-to-get-smarter"
SCRIPT_FILENAME 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
SCRIPT_NAME 
"/public/index.php"
SCRIPT_URI 
"https://rct.dev.bbntimes.com/science/what-is-lacking-in-machine-learning-to-get-smarter"
SCRIPT_URL 
"/science/what-is-lacking-in-machine-learning-to-get-smarter"
SERVER_ADDR 
"5.196.1.209"
SERVER_ADMIN 
"[no address given]"
SERVER_NAME 
"rct.dev.bbntimes.com"
SERVER_PORT 
"443"
SERVER_PROTOCOL 
"HTTP/1.1"
SERVER_SIGNATURE 
"<address>Apache Server at rct.dev.bbntimes.com Port 443</address>\n"
SERVER_SOFTWARE 
"Apache"
SSL_TLS_SNI 
"rct.dev.bbntimes.com"
SYMFONY_DOTENV_VARS 
"APP_ENV,APP_SECRET,DATABASE_URL,MARIADB_PASSWORD,CORS_ALLOW_ORIGIN,MAILER_DSN,GOOGLE_RECAPTCHA_SECRET_KEY,GOOGLE_RECAPTCHA_SITE_KEY"
UNIQUE_ID 
"Z7nQ0JDyWLT8YV1VjBpUagAAAIY"

Sub Requests 6

CookieController :: renderAnalysis (token = c5cbdd)

Key Value
_controller 
"App\Controller\CookieController::renderAnalysis"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"152f77"

AppController :: renderHeader (token = a946d0)

Key Value
_controller 
"App\Controller\AppController::renderHeader"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"7ffd8f"
slug 
"home"

ArticleController :: trendingArticle (token = f90974)

Key Value
_controller 
"App\Controller\ArticleController::trendingArticle"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"d39e47"
category 
"Science"

ArticleController :: relatedArticles (token = fc693f)

Key Value
_controller 
"App\Controller\ArticleController::relatedArticles"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"e1b012"
current_article 
App\Entity\Article {#1094
  -id: 10754
  -title: "What is Lacking in Machine Learning to Get Smarter?"
  -slug: "what-is-lacking-in-machine-learning-to-get-smarter"
  -introtext: "<p>Machine learning can get smarter by overcoming data quality, bias, complexity and maintenance issues.&nbsp;</p>\r\n"
  -content: """
    \r\n
    <p>Organizations are dealing with huge amounts of data in the&nbsp;pandemic era.</p>\r\n
    <p>Machine learning is rapidly&nbsp;changing with the rise of the <a href="http://www.bbntimes.com/science/the-metaverse-a-different-perspective" target="_blank" rel="noopener">metaverse</a>, <a href="science/what-are-quantum-computers-made-of" target="_blank" rel="noopener">quantum computing</a>, NFTs and&nbsp;the internet of things (IoT). There are some key issues that are preventing machine learning from reaching&nbsp;its potential.&nbsp;</p>\r\n
    <div>\r\n
    <div>\r\n
    <h2 id="gmail-1-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-data-quality">What is Machine Learning?</h2>\r\n
    <p><img src="/images/AI.png" alt="AI.png" width="800" height="825" /></p>\r\n
    <p><a href="science/the-journey-of-artificial-intelligence-and-machine-learning" target="_blank" rel="noopener"><br />Machine learning</a> <span style="color: #000000;">is a subset of&nbsp;artificial intelligence (AI), which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.</span></p>\r\n
    <p><span style="color: #000000;">The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt.&nbsp;</span></p>\r\n
    <p><span style="color: #000000;">Machine learning algorithms are used in a wide variety of applications, such as in medicine,&nbsp;email filtering,&nbsp;speech recognition, and&nbsp;computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.</span></p>\r\n
    <p><img src="/images/Machine_Learning_History.jpg" alt="Machine_Learning_History.jpg" width="801" height="690" /></p>\r\n
    </div>\r\n
    </div>\r\n
    <p><em><a href="https://mobidev.biz/blog/future-machine-learning-trends-impact-business" target="_blank" rel="noopener">Source: Mobidev</a></em></p>\r\n
    <div>\r\n
    <div>\r\n
    <div>\r\n
    <h2 id="gmail-1-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-data-quality">The State of Machine Learning &amp; 5 Key Trends</h2>\r\n
    </div>\r\n
    </div>\r\n
    </div>\r\n
    <p><span style="color: #000000;">Machine learning (ML) is powering the 4th industrial revolution amid the Covid-19 pandemic. Whether a business is trying to make recommendations to customers, hone its manufacturing processes or anticipate changes to a market, machine&nbsp;learning can assist by processing large volumes of data to better support companies as they seek a competitive advantage.</span><br /><br /></p>\r\n
    <div>\r\n
    <div>\r\n
    <div><img src="/images/Machine_Learning_in_Business.png" alt="Machine_Learning_in_Business.png" width="1027" height="639" /></div>\r\n
    </div>\r\n
    </div>\r\n
    <p><em><a href="https://www.mckinsey.com/business-functions/operations/our-insights/operationalizing-machine-learning-in-processes" target="_blank" rel="noopener">Source: McKinsey &amp; Company</a></em><br /><br /></p>\r\n
    <p><span style="color: #000000;">Here are 5 trends that are shaping machine learning:</span></p>\r\n
    <ul>\r\n
    <li>\r\n
    <p><span style="color: #000000;">Vaccine development</span></p>\r\n
    </li>\r\n
    <li>\r\n
    <p><span style="color: #000000;">Self driving cars</span></p>\r\n
    </li>\r\n
    <li>\r\n
    <p><span style="color: #000000;">Machine Learning as a Service</span></p>\r\n
    </li>\r\n
    <li>\r\n
    <p><span style="color: #000000;">Quantum computing</span></p>\r\n
    </li>\r\n
    <li>\r\n
    <p><span style="color: #000000;">No Code Machine Learning</span></p>\r\n
    </li>\r\n
    </ul>\r\n
    <h2 id="gmail-1-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-data-quality">What Are the Machine Learning Methods?</h2>\r\n
    <p><img src="/images/Machine_Learning_Categories.png" alt="Machine_Learning_Categories.png" /></p>\r\n
    <p><span style="color: #000000;">Machine learning&nbsp;classifiers fall into four primary categories:<br /></span><span style="color: #000000;"><a style="color: #000000;" href="https://www.ibm.com/cloud/learn/supervised-learning"><br class="gmail-Apple-interchange-newline" /></a>1. Supervised learning&nbsp;is defined by its use of labeled datasets to train algorithms that to classify data or predict outcomes accurately.</span></p>\r\n
    <p><span style="color: #000000;">2.&nbsp;Unsupervised learning&nbsp;uses machine learning algorithms to analyze and cluster unlabeled datasets.</span></p>\r\n
    <p><span style="color: #000000;">3.&nbsp;Semi-supervised learning offers a happy medium between supervised and unsupervised learning.&nbsp;</span></p>\r\n
    <p><span style="color: #000000;">4.&nbsp;Reinforcement learning is&nbsp;the training of machine learning models to make a sequence of decisions.&nbsp;</span></p>\r\n
    <div>\r\n
    <div>\r\n
    <h2 id="gmail-1-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-data-quality">Challenges That Are Preventing Machine Learning to To Get Smarter</h2>\r\n
    <p><span style="color: #000000;">Every year, machine learning researchers fascinate us with new discoveries and innovations, but there are some challenges and limitations.</span></p>\r\n
    <p><span style="color: #000000;">Here are some key practical issues that are harming machine&nbsp;learning to truly&nbsp;reach its&nbsp;potential.</span></p>\r\n
    <p><img src="/images/Challenges_and_Limitations_of_Machine_Learning.jpeg" alt="Challenges_and_Limitations_of_Machine_Learning.jpeg" width="875" height="656" /></p>\r\n
    </div>\r\n
    </div>\r\n
    <h2 id="gmail-1-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-data-quality">1. Data Quality</h2>\r\n
    <p>Machine learning systems rely on data. That data can be broadly classified into two groups: features and labels.</p>\r\n
    <p>Machine learning relies on the relationships between input and output data to create generalisations that can be used to make predictions and provide recommendations for future actions. When the input data is noisy, incomplete or erroneous, it can be extremely difficult to understand why a particular output, or label, occurred.</p>\r\n
    <h2 id="gmail-1-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-data-quality">2. Bias</h2>\r\n
    <p>Many companies use machine learning algorithms to assist them in recruitment. For example, Amazon discovered that the algorithm they used to assist with selecting candidates to work in the business was biased. Also, researchers from Princeton found that European names were favoured by other systems, mimicking some human biases.</p>\r\n
    <p>The problem here isn’t the model specifically. The problem is that the data used to train the model comes with its own biases. However, when we know the data is biased, there are ways to debias or to reduce the weighting given to that data.</p>\r\n
    <h2 id="gmail-2-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-the-complexity-and-quality-trade-off">3. Complexity</h2>\r\n
    <p>Building robust machine learning models requires substantial computational resources to process the features and labels. Coding a complex model requires significant effort from data scientists and software engineers. Complex models can require substantial computing power to execute and can take longer to derive a usable result.</p>\r\n
    <h2 id="gmail-5-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-monitoring-and-maintenance">4.&nbsp; Maintenance</h2>\r\n
    <p><span style="color: #000000;">Machine learning models are part of a longer pipeline that starts with the features that are used to train the model. Then there is the model itself, which is a piece of software that can require modification and updates. Each model requires labels so that the results of an input can be recognised, then used by the model. And there may be a disconnect between the model and the final signal in a system. Maintenance itself can be costly.&nbsp;</span></p>\r\n
    <h2 id="gmail-5-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-xa0-monitoring-and-maintenance">Conclusion</h2>\r\n
    <p>Machine learning offers significant advantages to organizations. The ability to predict future outcomes to anticipate and influence customer behaviour and to support business operations are substantial. However, machine&nbsp;learning also brings challenges to businesses. By recognising these challenges and developing strategies to address them, organizations can ensure they are prepared and equipped to handle them and get the most out of machine learning technology.</p>
    """
  -user: Proxies\__CG__\App\Entity\User {#1092 …}
  -createdAt: DateTime @1646413200 {#1145
    date: 2022-03-04 17:00:00.0 UTC (+00:00)
  }
  -updatedAt: DateTime @1646416060 {#1150
    date: 2022-03-04 17:47:40.0 UTC (+00:00)
  }
  -deletedAt: null
  -category: App\Entity\Category {#445 …}
  -status: "published"
  -imageCard: Proxies\__CG__\App\Entity\File {#1184 …}
  -ImageHeader: Proxies\__CG__\App\Entity\File {#1184 …}
  -featured: false
  -mainView: false
  -clicks: 11635
  -comments: Doctrine\ORM\PersistentCollection {#1125 …}
  -reviewed_at: DateTime @1646413200 {#1148
    date: 2022-03-04 17:00:00.0 UTC (+00:00)
  }
  -metakey: "What is Lacking in Machine Learning to Get Smarter?"
  -metadesc: "Machine learning can get smarter by overcoming data quality, bias, complexity and maintenance issues.\u{A0}"
  -robots: null
  -publishedAt: DateTime @1646413200 {#1147
    date: 2022-03-04 17:00:00.0 UTC (+00:00)
  }
  -canonical: null
  -superTag: null
}

AppController :: renderFooter (token = cdfac8)

Key Value
_controller 
"App\Controller\AppController::renderFooter"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"a61059"

CookieController :: renderCookie (token = 7939dd)

Key Value
_controller 
"App\Controller\CookieController::renderCookie"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"fccf15"